{"611942":{"#nid":"611942","#data":{"type":"event","title":"An Introduction to Python for Data Science","body":[{"value":"\u003Cp\u003EThis workshop will go over the basics of Numpy and Pandas, Python\u0026#39;s data science libraries.\u0026nbsp; We will then use these libraries to read in a dataset, manipulate and clean our data, and then export, analyze, and visualize our refined data to gain valuable insights.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERecommended for students with at least a basic knowledge of programming and Python.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETools: Anaconda 3.6, Jupyter Notebook, Numpy, Pandas, matplotlib\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis workshop will go over the basics of Numpy and Pandas, Python\u0026#39;s data science libraries.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This workshop will go over the basics of Numpy and Pandas, Python\u0027s data science libraries. "}],"uid":"28817","created_gmt":"2018-09-25 18:46:09","changed_gmt":"2018-09-27 17:36:18","author":"Jason Wright","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-10-23T13:00:00-04:00","event_time_end":"2018-10-23T14:00:00-04:00","event_time_end_last":"2018-10-23T14:00:00-04:00","gmt_time_start":"2018-10-23 17:00:00","gmt_time_end":"2018-10-23 18:00:00","gmt_time_end_last":"2018-10-23 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/www.eventbrite.com\/d\/ga--atlanta\/georgia-tech-library-data-viz\/","title":"Register Now!"}],"groups":[{"id":"47240","name":"Georgia Tech Library"}],"categories":[],"keywords":[{"id":"140341","name":"Python"},{"id":"38921","name":"data visualization"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}